LLM Reference

GPT-5.5 vs Qwen3.6-35B-A3B

GPT-5.5 (2026) and Qwen3.6-35B-A3B (2026) compare a standalone API model against a coding-specialized model. GPT-5.5 ships a 1.05m-token context window, while Qwen3.6-35B-A3B ships a 262k-token context window. On MMLU PRO, GPT-5.5 leads by 2.9 pts. On pricing, GPT-5.5 ranges from $5 to $8/1M input tokens by tier; Qwen3.6-35B-A3B costs $0.15/1M input tokens. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: GPT-5.5 is standalone API model, while Qwen3.6-35B-A3B is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalGPT-5.5Qwen3.6-35B-A3B
Product typeStandalone API modelCoding-specialized model
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentscustom coding agents, code generation, and tool loops
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1.05m262k
Cheapest output$30/1M tokens$1/1M tokens
Provider routes4 tracked2 tracked
Shared benchmarksMMLU PRO leader5 shared

Decision tradeoffs

Choose GPT-5.5 when...
  • GPT-5.5 holds a shared-benchmark lead on MMLU PRO, ahead by 2.9 points.
  • GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-5.5 has broader tracked provider coverage for fallback and route flexibility.
  • GPT-5.5 uniquely exposes Reasoning, Structured outputs, and Code execution in local model data.
  • Local decision data tags GPT-5.5 for Coding, RAG, and Agents.
Choose Qwen3.6-35B-A3B when...
  • Qwen3.6-35B-A3B has the lower cheapest tracked output price at $1/1M tokens.
  • Local decision data tags Qwen3.6-35B-A3B for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Qwen3.6-35B-A3B

GPT-5.5

$11,500

Cheapest tracked route/tier: OpenAI API 0-272K input tokens

Qwen3.6-35B-A3B

$370

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $11,130. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-5.5 -> Qwen3.6-35B-A3B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Qwen3.6-35B-A3B is $29/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning, Structured outputs, and Code execution before moving production traffic.
Qwen3.6-35B-A3B -> GPT-5.5
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • GPT-5.5 is $29/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GPT-5.5 adds Reasoning, Structured outputs, and Code execution in local capability data.

Specs

Specification
Released2026-04-232026-04-16
Context window1.05m262k
Parameters—35B
ArchitectureDecoder OnlyMixture of Experts
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
WeightsNot releasedAvailable
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-12-

Pricing and availability

Pricing attributeGPT-5.5Qwen3.6-35B-A3B
Input price
0-272K input tokens
$5/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
272K+ input tokens
$8/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
$0.15/1M tokens
Output price
0-272K input tokens
$30/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
272K+ input tokens
$36/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
$1/1M tokens
Providers
OpenAI APIOpenRouterVercel AI GatewayAWS Bedrock
OpenRouterNovita AI

Capabilities

CapabilityGPT-5.5Qwen3.6-35B-A3B
VisionYesYes
MultimodalYesYes
ReasoningYesNo
JSON / Tool useYesYes
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGPT-5.5Qwen3.6-35B-A3B
MMLU PRO88.185.2
SWE-bench Verified82.673.4
SWE-bench Pro58.649.5
Google-Proof Q&A93.686.0
MMMU Pro88.375.3

Continue comparing

Model pages
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.